Kim, Hyungjun

10 publications

NeurIPS 2025 GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning Yeonjoon Jung, Daehyun Ahn, Hyungjun Kim, Taesu Kim, Eunhyeok Park

AAAI 2024 OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models Changhun Lee, Jungyu Jin, Taesu Kim, Hyungjun Kim, Eunhyeok Park

ICML 2024 SLEB: Streamlining LLMs Through Redundancy Verification and Elimination of Transformer Blocks Jiwon Song, Kyungseok Oh, Taesu Kim, Hyungjun Kim, Yulhwa Kim, Jae-Joon Kim

ICCV 2023 INSTA-BNN: Binary Neural Network with INSTAnce-Aware Threshold Changhun Lee, Hyungjun Kim, Eunhyeok Park, Jae-Joon Kim

NeurIPS 2023 Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis Yulhwa Kim, Dongwon Jo, Hyesung Jeon, Taesu Kim, Daehyun Ahn, Hyungjun Kim, Jae-Joon Kim

WACV 2023 Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation Daehyun Ahn, Hyungjun Kim, Taesu Kim, Eunhyeok Park, Jae-Joon Kim

ICMLW 2023 Squeezing Large-Scale Diffusion Models for Mobile Jiwoong Choi, Minkyu Kim, Daehyun Ahn, Taesu Kim, Yulhwa Kim, Dongwon Jo, Hyesung Jeon, Jae-Joon Kim, Hyungjun Kim

NeurIPS 2023 Temporal Dynamic Quantization for Diffusion Models Junhyuk So, Jungwon Lee, Daehyun Ahn, Hyungjun Kim, Eunhyeok Park

CVPR 2021 Improving Accuracy of Binary Neural Networks Using Unbalanced Activation Distribution Hyungjun Kim, Jihoon Park, Changhun Lee, Jae-Joon Kim

ICLR 2020 BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations Hyungjun Kim, Kyungsu Kim, Jinseok Kim, Jae-Joon Kim